DevOps Platform Engineer

Job Description

DevOps Platform Engineer

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12 Months Contract

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Arlington, VA

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Required:

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• Strong programming experience in one or more modern languages such as C#, Java, Python, Go, or JavaScript/TypeScript.

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• Experience designing and building scalable applications, APIs, distributed systems, and cloud-native services.

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• Strong understanding of DevOps practices, CI/CD pipelines, and deployment automation using tools such as Jenkins, GitHub Actions, or similar technologies.

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• Hands-on experience with cloud platforms such as AWS and/or Azure.

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• Experience with Docker, Kubernetes, Infrastructure as Code, and modern platform engineering practices.

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• Experience developing internal platforms, frameworks, libraries, or tooling that improve developer productivity and engineering efficiency.

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• Familiarity with API management, gateway technologies, secrets management, and infrastructure tooling.

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• Experience working with large-scale data platforms, ETL pipelines, or high-volume data processing environments is a plus.

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• Strong interest in AI-enabled engineering, workflow automation, and modern software delivery practices.

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• Demonstrated technical leadership through complex projects, platform initiatives, or cross-team engineering efforts.

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Role:

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• Drive foundational improvements to CI/CD platforms, deployment pipelines, and engineering practices that improve reliability and accelerate software delivery.

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• Design and develop reusable frameworks, internal platforms, and developer tools that increase engineering productivity across teams.

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• Lead modernization efforts focused on cloud-native technologies, automation, AI-assisted engineering, and developer experience.

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• Build and maintain scalable applications, APIs, services, and platform capabilities that support enterprise-scale solutions.

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• Partner with engineering, platform, product, and architecture teams to solve cross-functional technical challenges.

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• Contribute to architectural decisions that improve scalability, resilience, security, and long-term maintainability.

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• Identify opportunities to simplify processes, eliminate inefficiencies, and improve SDLC and PDLC effectiveness.

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• Support DevOps and platform engineering initiatives through automation, Infrastructure as Code, and operational excellence practices.

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